Published on 25.08.17 in Vol 5, No 8 (2017): August
Works citing "Clinical Validation of Heart Rate Apps: Mixed-Methods Evaluation Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7254):
(note that this is only a small subset of citations)
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Witt DR, Kellogg RA, Snyder MP, Dunn J. Windows into human health through wearables data analytics. Current Opinion in Biomedical Engineering 2019;9:28
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Christle JW, Hershman SG, Torres Soto J, Ashley EA. Mobile Health Monitoring of Cardiac Status. Annual Review of Biomedical Data Science 2020;3(1):243
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Zheng Q, Tang Q, Wang ZL, Li Z. Self-powered cardiovascular electronic devices and systems. Nature Reviews Cardiology 2021;18(1):7
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Pipitprapat W, Harnchoowong S, Suchonwanit P, Sriphrapradang C. The validation of smartphone applications for heart rate measurement. Annals of Medicine 2018;50(8):721
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Lee JH, Park YR, Kweon S, Kim S, Ji W, Choi C. A Cardiopulmonary Monitoring System for Patient Transport Within Hospitals Using Mobile Internet of Things Technology: Observational Validation Study. JMIR mHealth and uHealth 2018;6(11):e12048
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Dunn J, Runge R, Snyder M. Wearables and the medical revolution. Personalized Medicine 2018;15(5):429
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Ding EY, Svennberg E, Wurster C, Duncker D, Manninger M, Lubitz SA, Dickson E, Fitzgibbons TP, Akoum N, Al-Khatib SM, Attia ZI, Ghanbari H, Marrouche NF, Mendenhall GS, Peters NS, Tarakji KG, Turakhia M, Wan EY, McManus DD. Survey of current perspectives on consumer-available digital health devices for detecting atrial fibrillation. Cardiovascular Digital Health Journal 2020;1(1):21
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Jaafar Z, Murugan AK. VALIDATION OF SMARTPHONE FREE HEART RATE MONITORING APPLICATION DURING TREADMILL EXERCISE. Revista Brasileira de Medicina do Esporte 2019;25(2):112
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Ding EY, Marcus GM, McManus DD. Emerging Technologies for Identifying Atrial Fibrillation. Circulation Research 2020;127(1):128
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Sadek I, Heng TTS, Seet E, Abdulrazak B. A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study. Journal of Medical Internet Research 2020;22(9):e18297
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Kang S, Joe B, Yoon Y, Cho G, Shin I, Suh J. Cardiac Auscultation Using Smartphones: Pilot Study. JMIR mHealth and uHealth 2018;6(2):e49
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Verbrugge FH, Proesmans T, Vijgen J, Mullens W, Rivero-Ayerza M, Van Herendael H, Vandervoort P, Nuyens D. Atrial fibrillation screening with photo-plethysmography through a smartphone camera. EP Europace 2019;21(8):1167
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Ledwoch J, Duncker D. eHealth – Smart Devices revolutionieren die Kardiologie. Herzschrittmachertherapie + Elektrophysiologie 2020;31(4):368
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Li KHC, White FA, Tipoe T, Liu T, Wong MC, Jesuthasan A, Baranchuk A, Tse G, Yan BP. The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review. JMIR mHealth and uHealth 2019;7(2):e11606
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Ding EY, Ensom E, Hafer N, Buchholz B, Picard MA, Dunlap D, Rogers E, Lawton C, Koren A, Lilly C, Fitzgibbons TP, McManus DD. Point-of-care technologies in heart, lung, blood and sleep disorders from the Center for Advancing Point-of-Care Technologies. Current Opinion in Biomedical Engineering 2019;11:58
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Villani V, Righi M, Sabattini L, Secchi C. Wearable Devices for the Assessment of Cognitive Effort for Human–Robot Interaction. IEEE Sensors Journal 2020;20(21):13047
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Xie L, Li Z, Zhou Y, He Y, Zhu J. Computational Diagnostic Techniques for Electrocardiogram Signal Analysis. Sensors 2020;20(21):6318
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Mühlen JM, Stang J, Lykke Skovgaard E, Judice PB, Molina-Garcia P, Johnston W, Sardinha LB, Ortega FB, Caulfield B, Bloch W, Cheng S, Ekelund U, Brønd JC, Grøntved A, Schumann M. Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network. British Journal of Sports Medicine 2021;55(14):767
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Béres S, Holczer L, Hejjel L. On the Minimal Adequate Sampling Frequency of the Photoplethysmogram for Pulse Rate Monitoring and Heart Rate Variability Analysis in Mobile and Wearable Technology. Measurement Science Review 2019;19(5):232
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Krzowski B, Skoczylas K, Osak G, Żurawska N, Peller M, Kołtowski , Zych A, Główczyńska R, Lodziński P, Grabowski M, Opolski G, Balsam P. Kardia Mobile and ISTEL HR applicability in clinical practice: a comparison of Kardia Mobile, ISTEL HR, and standard 12-lead electrocardiogram records in 98 consecutive patients of a tertiary cardiovascular care centre. European Heart Journal - Digital Health 2021;2(3):467
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van der Velden RMJ, Verhaert DVM, Hermans ANL, Duncker D, Manninger M, Betz K, Gawalko M, Desteghe L, Pisters R, Hemels M, Pison L, Sohaib A, Sultan A, Steven D, Wijtvliet P, Gupta D, Svennberg E, Luermans JCLM, Chaldoupi M, Vernooy K, den Uijl D, Lodzinski P, Jansen WPJ, Eckstein J, Bollmann A, Vandervoort P, Crijns HJGM, Tieleman R, Heidbuchel H, Pluymaekers NAHA, Hendriks JM, Linz D. The photoplethysmography dictionary: practical guidance on signal interpretation and clinical scenarios from TeleCheck-AF. European Heart Journal - Digital Health 2021;2(3):363
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Betz K, van der Velden R, Gawalko M, Hermans A, Pluymaekers N, Hillmann HAK, Hendriks J, Duncker D, Linz D. Interpretation der Photoplethysmographie: Schritt für Schritt. Herzschrittmachertherapie + Elektrophysiologie 2021;32(3):406
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Książczyk M, Dębska-Kozłowska A, Warchoł I, Lubiński A. Enhancing Healthcare Access–Smartphone Apps in Arrhythmia Screening: Viewpoint. JMIR mHealth and uHealth 2021;9(8):e23425
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Yen C, Chang S, Jia-Xian L, Huang Y. A Deep Learning-Based Continuous Blood Pressure Measurement by Dual Photoplethysmography Signals. Computers, Materials & Continua 2022;70(2):2937
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Garikapati K, Turnbull S, Bennett RG, Campbell TG, Kanawati J, Wong MS, Thomas SP, Chow CK, Kumar S. The Role of Contemporary Wearable and Handheld Devices in the Diagnosis and Management of Cardiac Arrhythmias. Heart, Lung and Circulation 2022;31(11):1432
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Knight S, Lipoth J, Namvari M, Gu C, Hedayati M, Syed-Abdul S, Spiteri RJ. The Accuracy of Wearable Photoplethysmography Sensors for Telehealth Monitoring: A Scoping Review. Telemedicine and e-Health 2023;29(6):813
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Cermakova E, Piskovska A, Trhonova V, Schilliger L, Knotek Z. Comparison of three ECG machines for electrocardiography in green iguanas (Iguana iguana). Veterinární medicína 2021;66(2):66
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Sim D, Brothers MC, Slocik JM, Islam AE, Maruyama B, Grigsby CC, Naik RR, Kim SS. Biomarkers and Detection Platforms for Human Health and Performance Monitoring: A Review. Advanced Science 2022;9(7)
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Lujan MR, Perez-Pozuelo I, Grandner MA. Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms. Frontiers in Digital Health 2021;3
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Wong MKF, Hei H, Lim SZ, Ng EY. Applied machine learning for blood pressure estimation using a small, real-world electrocardiogram and photoplethysmogram dataset. Mathematical Biosciences and Engineering 2022;20(1):975
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Chia P, Tan K, Ng S, Foo D. Contemporary wearable and handheld technology for the diagnosis of cardiac arrhythmias in Singapore. Singapore Medical Journal 2023;
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Gruwez H, Verbrugge FH, Proesmans T, Evens S, Vanacker P, Rutgers MP, Vanhooren G, Bertrand P, Pison L, Haemers P, Vandervoort P, Nuyens D. Smartphone-based atrial fibrillation screening in the general population: feasibility and impact on medical treatment. European Heart Journal - Digital Health 2023;4(6):464
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van Dijk W, Huizink AC, Oosterman M, Lemmers-Jansen IL, de Vente W. Validation of Photoplethysmography Using a Mobile Phone Application for the Assessment of Heart Rate Variability in the Context of Heart Rate Variability–Biofeedback. Psychosomatic Medicine 2023;85(7):568
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. ECG Smart Monitoring versus Implantable Loop Recorders for Atrial Fibrillation Detection after Cryptogenic Stroke—An Overview for Decision Making. Journal of Cardiovascular Development and Disease 2023;10(7):306
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. A Scoping Review of Varying Mobile Electrocardiographic Devices. Biological Research For Nursing 2024;26(2):303
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Mather JD, Hayes LD, Mair JL, Sculthorpe NF. Validity of resting heart rate derived from contact-based smartphone photoplethysmography compared with electrocardiography: a scoping review and checklist for optimal acquisition and reporting. Frontiers in Digital Health 2024;6
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Lin Z, Zheng J, Wang Y, Su Z, Zhu R, Liu R, Wei Y, Zhang X, Wang F. Prediction of the efficacy of group cognitive behavioral therapy using heart rate variability based smart wearable devices: a randomized controlled study. BMC Psychiatry 2024;24(1)
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.7254):
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. Digitalization in Healthcare. 2021. Chapter 7:73
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